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https://issues.apache.org/jira/browse/HBASE-20188?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16402524#comment-16402524
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stack commented on HBASE-20188:
-------------------------------
Attached to flamegraphs from a server that is participating in an ITBLL.
Servers are blocking waiting on flush to complete. We are spending all of our
time comparing. About 5% CPU is spent in in-memory compaction but bulk of this
is compare too. Most CPU is spent trying to put into CSLM.
> [TESTING] Performance
> ---------------------
>
> Key: HBASE-20188
> URL: https://issues.apache.org/jira/browse/HBASE-20188
> Project: HBase
> Issue Type: Umbrella
> Components: Performance
> Reporter: stack
> Priority: Critical
> Fix For: 2.0.0
>
> Attachments: flamegraph-1072.1.svg, flamegraph-1072.2.svg
>
>
> How does 2.0.0 compare to old versions? Is it faster, slower? There is rumor
> that it is much slower, that the problem is the asyncwal writing. Does
> in-memory compaction slow us down or speed us up? What happens when you
> enable offheaping?
> Keep notes here in this umbrella issue. Need to be able to say something
> about perf when 2.0.0 ships.
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